Abstract #3744
Challenges of 3D printing from MRI data: Our Experience with a Kidney Tumor Model
Nicole Wake 1,2 , William Huang 3 , Todd Pietila 4 , and Hersh Chandarana 1
1
The Center for Advanced Imaging Innovation
and Research (CAI2R), Department of Radiology, New York
University School of Medicine, New York, New York,
United States,
2
The
Sackler Institute of Graduate Biomedical Sciences, New
York University School of Medicine, New York, New York,
United States,
3
Department of Urology, New
York University School of Medicine, New York, New York,
United States,
4
Materialise
USA, Plymouth, Michigan, United States
Soft tissue three-dimensional (3D) printing from
magnetic resonance (MR) imaging data is feasible, but
implementation is challenging and time consuming. We
performed 3D segmentation of an abdominal MR dataset and
created a high-fidelity, life-sized 3D model of a kidney
and in-situ renal tumor for pre-operative surgical
planning. The 3D model provided additional information
to the attending surgeon that influenced surgical
planning and allowed real-time changes to be applied
during the operative procedure.
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